Evidence of factors influencing self-medication with antibiotics in LMICs: a systematic scoping review protocol
SOURCE: Systematic Reviews
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2018
TITLE AUTHOR(S): N.F.Torres, B.Chibi, L.E.Middleton, V.P.Solomon, T.Mashamba-Thompson
KEYWORDS: ANTIBIOTICS, RISK BEHAVIOUR, SELF-MEDICATION
DEPARTMENT: Public Health, Societies and Belonging (HSC)
Print: HSRC Library: shelf number 10496
HANDLE: 20.500.11910/12551
URI: http://hdl.handle.net/20.500.11910/12551
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2018
TITLE AUTHOR(S): N.F.Torres, B.Chibi, L.E.Middleton, V.P.Solomon, T.Mashamba-Thompson
KEYWORDS: ANTIBIOTICS, RISK BEHAVIOUR, SELF-MEDICATION
DEPARTMENT: Public Health, Societies and Belonging (HSC)
Print: HSRC Library: shelf number 10496
HANDLE: 20.500.11910/12551
URI: http://hdl.handle.net/20.500.11910/12551
If you would like to obtain a copy of this Research Output, please contact Hanlie Baudin at researchoutputs@hsrc.ac.za.
Abstract
The Sustainable Development Goals (SDGs) emphasize the need for strengthening the capacity of all developing countries in the early warning, risk reduction and management of national as well as global health risks. Despite there being a considerable amount of effort in controlling and promoting the rational use of antibiotics, studies show that the practice of self-medication with antibiotics (SMA) systematically exposes individuals to the risk of antibiotic resistance and other antibiotic side effects. The proposed scoping review aims to map literature on the factors influencing self-medication with antibiotics in low- and middle-income countries (LMICs). The adopted search strategy for this scoping review study will involve electronic databases including PubMed, Web of Knowledge, Science Direct, EBSCOhost (PubMed, CINAHL, MEDLINE), Google Scholar, BioMed Central and World Health Organization library. A two-stage mapping strategy will be conducted. Stage 1 will screen studies through examining their titles and screening abstracts descriptively by focus and method as stipulated by the inclusion and exclusion criteria. In stage 2, the researchers will extract data from the included studies. A parallel screening and data extraction will be undertaken by two reviewers. In accessing the quality of the included studies, the researchers will utilize the mixed methods appraisal tool (MMAT, version 11). The NVivo computer software (version 11) shall be used to classify, sort, arrange and examine relationships in the data, and to extract the relevant outcomes and for the thematic analysis of the studies. Discussion: The study anticipates finding relevant studies reporting evidence on the factors influencing self medication with antibiotics in LMICs. The evidence obtained from the included studies will help guide future research. The study findings will be disseminated electronically and in print with presentations being done at relevant platforms, i.e. conferences related to antibiotic use, antimicrobial resistance, health seeking behaviour and the use of medicines.-
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